Title :
A neural network approach to CSG-based 3-D object recognition
Author :
Chen, Tsu-Wang ; Lin, Wei-Chung
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
The recognition subsystem of a vision system based on a constructive solid geometry (CSG) representation scheme is described. From the image, a description about the scene-precedence graph-is inferred. Object recognition is formulated as matching a scene precedence graph to a model precedence graph which is executed by a constraint satisfaction network
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; neural nets; solid modelling; 3D object recognition; constraint satisfaction network; constructive solid geometry; model precedence graph; neural network approach; precedence graph; scene; vision system; Computational geometry; Computer science; Engine cylinders; Layout; Machine vision; Neural networks; Neurons; Object recognition; Shape; Solids;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139797
